Skip to content

Identifying Digital Evidence from Android Devices via Static and Dynamic Analysis

Type: Webinar
Research Area: Digital

This CSAFE Center Wide webinar was presented on June 25, 2019 by Dr. Yong Guan, CSAFE researcher at Iowa State University.

Presentation Description:

The over 50 app stores across the world provides mobile phone users with access to 8 million apps, each with the potential to house important forensic evidence. It is not possible for digital forensic practitioners to develop sufficient expert knowledge about every single app on the market. As a result, this often prevents timely and reliable discovery of forensic evidence, leading to backlogs in most crime laboratories. Researchers will discuss EviHunter, a new forensic Android app analysis toolset, and with it, build the likely largest Android App Forensic Evidence Database, to assist crime investigators to solve these issues.

 

Related Resources

Statistical Methods for the Forensic Analysis of User-Event Data

Statistical Methods for the Forensic Analysis of User-Event Data

A common question in forensic analysis is whether two observed data sets originate from the same source or from different sources. Statistical approaches to addressing this question have been widely…
Statistical Methods for the Forensic Analysis of Geolocated Event Data

Statistical Methods for the Forensic Analysis of Geolocated Event Data

A common question in forensic analysis is whether two observed data sets originated from the same source or from different sources. Statistical approaches to addressing this question have been widely…
Statistical models to predict exposure settings using two different iPhone camera apps

Statistical models to predict exposure settings using two different iPhone camera apps

The StegoAppDB [Newman, J. (2019)] is a digital image database containing camera data from Android and iPhone mobile phones and developed for forensic purposes. Taken with a custom-designed camera app…
Statistical methods for digital image forensics: Algorithm mismatch for blind spatial steganalysis and score-based likelihood ratios for camera device identification

Statistical methods for digital image forensics: Algorithm mismatch for blind spatial steganalysis and score-based likelihood ratios for camera device identification

Forensic science currently faces a variety of challenges. Statistically suitable reference databases need to be developed and maintained. Subjective methods that can introduce bias need to be replaced by objective…